The Ockham's razor applied to COVID-19 model fitting French data
Abstract
This paper presents a data-based simple model for fitting the available data of the Covid-19 pandemic evolution in France. The time series concerning the 13 regions of mainland France have been considered for fitting and validating the model. An extremely simple, two-dimensional model with only two parameters demonstrated to be able to reproduce the time series concerning the number of daily demises caused by Covid-19, the hospitalizations, intensive care and emergency accesses, the daily number of positive test and other indicators, for the different French regions. These results might contribute to stimulate a debate on the suitability of much more complex models for reproducing and forecasting the pandemic evolution since, although relevant from a mechanistic point of view, they could lead to nonidentifiability issues.
Keywords
Cite
@article{arxiv.2007.11379,
title = {The Ockham's razor applied to COVID-19 model fitting French data},
author = {Mirko Fiacchini and Mazen Alamir},
journal= {arXiv preprint arXiv:2007.11379},
year = {2020}
}